Differential expression of miR-144* as a novel fecal-based diagnostic marker for colorectal cancer
- 706 Downloads
MicroRNAs (miRNA) are tiny, noncoding, small, endogenous RNAs that play major roles in neoplastic transformation and could therefore offer a better quantitative and noninvasive method for the diagnosis and prognosis of colorectal cancer (CRC) using feces. In the present study, we screened feces for 648 miRNAs and analyzed the role of miR-144* as a potential CRC diagnostic marker.
Fecal miRNA expression was profiled with RT-pre-amplification-qPCR, and the stability was determined using both endogenous and exogenous miRNA by RT-qPCR. ROC analysis was performed to enhance the diagnosing power of the CRC patients’ fecal specimens.
We detected 39% of all the miRNAs screened in feces. Endogenous miRNAs are more stable over time and temperature, while exogenous miRNAs degraded rapidly. miR-144* was overexpressed in feces, suggesting that it could be a potent candidate diagnostic marker for CRC detection, with a sensitivity of 74% and a specificity of 87% (n = 75, p < 0.0001). Moreover, RT-qPCR analysis showed that miR-144* was also overexpressed in paired CRC tissues, thus suggesting its possible utilization as a diagnostic marker.
We demonstrated that miRNAs are stable in the fecal microenvironment, and that, among them, miR-144* represents a novel fecal-based diagnostic marker for CRC screening. Nevertheless, our data need to be validated in a large cohort of subjects.
KeywordsmiR-144* Fecal miRNAs CRC miR-378
This work was supported by grants from University Hospital Tor Vergata, University of Rome. MK was supported by a pre-doctoral scholarship for foreign students under the International Italian Government University scholarship.
Conflict of interest
The authors declare that they have no conflict of interest.
- 18.Li J, Smyth P, Flavin R, Cahill S, Denning K, Aherne S, et al. Comparison of miRNA expression patterns using total RNA extracted from matched samples of formalin-fixed paraffin-embedded (FFPE) cells and snap frozen cells. BMC Biotechnol. 2007;7:36.Google Scholar
- 29.Mestdagh P, Feys T, Bernard N, Guenther S, Chen C, Speleman F, et al. High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA. Nucleic Acids Res. 2008;36:e143.Google Scholar
- 30.Mestdagh P, Van Vlierberghe P, De Weer A, Muth D, Westermann F, Speleman F, et al. A novel and universal method for microRNA RT-qPCR data normalization. Genome Biol. 2009;10:R64.Google Scholar
- 31.Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3:RESEARCH0034.Google Scholar